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Titel:

An Information-Driven Algorithm in Flocking Systems for an Improved Obstacle Avoidance

Dokumenttyp:
Konferenzbeitrag
Art des Konferenzbeitrags:
Textbeitrag / Aufsatz
Autor(en):
Olcay, E.; Lohmann, B.; Akella, M. R.
Seitenangaben Beitrag:
pp. 298-304
Abstract:
The research field of swarm robotics continues to draw inspiration from the behavior of animals in nature. Obstacle avoidance and the navigation in unknown areas are major problems in control of swarming agents. In recent years, a large number of algorithms have been developed for this purpose. These algorithms are mainly based on artificial potential functions and many of the existing strategies do not enable agents to escape from non-convex obstacles. Due to the issue of local minimum, agents...     »
Stichworte:
multi-agent systems; flocking control; cooperative control; Obstacle avoidance
Dewey-Dezimalklassifikation:
620 Ingenieurwissenschaften
Herausgeber:
IEEE
Kongress- / Buchtitel:
45th Annual Conference of the IEEE Industrial Electronics Society (IECON)
Datum der Konferenz:
14.-17.10.
Verlag / Institution:
IEEE
Verlagsort:
New York, USA
Jahr:
2019
Quartal:
4. Quartal
Jahr / Monat:
2019-10
Monat:
Oct
Nachgewiesen in:
Scopus; Web of Science
Print-ISBN:
978-1-7281-4879-3
E-ISBN:
978-1-7281-4878-6
Serien-ISSN:
1553-572X
Reviewed:
ja
Sprache:
en
Volltext / DOI:
doi:10.1109/IECON.2019.8927758
WWW:
https://ieeexplore.ieee.org/document/8927758/metrics#metrics
TUM Einrichtung:
Lehrstuhl für Regelungstechnik
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